|Digital Signal Processing II||Hours: 3 0 3|
Statistical description of discrete and continuous signals; estimation and linear prediction theory; power spectrum analysis application to filtering interpolation; prediction problems; signal processing techniques extended to multidimensional physical systems and nonlinear systems.
|Pre-requisites: none||Co-requisites: none|
Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course